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NTIS 바로가기Ocean systems engineering, v.9 no.1, 2019년, pp.79 - 95
Oh, Min-Jae (Research Institute of Marine Systems Engineering, Seoul National University) , Roh, Myung-Il (Department of Naval Architecture and Ocean Engineering, and Research Institute of Marine Systems Engineering, Seoul National University) , Park, Sung-Woo (Interdisciplinary Program in Offshore Plant Engineering, Seoul National University) , Chun, Do-Hyun (Department of Naval Architecture and Ocean Engineering, Seoul National University) , Myung, Sehyun (School of Automotive & Mechanical Design Engineering, Youngsan University)
The material analysis of an offshore structure is generally conducted in the contract design phase for the price quotation of a new offshore project. This analysis is conducted manually by an engineer, which is time-consuming and can lead to inaccurate results, because the data size from previous pr...
Amazon Web Services Inc. (2018), Amazon Web Services (AWS) - Cloud Computing Services [WWW Document]. URL https://aws.amazon.com/ (accessed 7.9.18).
Apache Ambari [WWW Document] (2018), URL http://ambari.apache.org/ (accessed 7.11.18).
Apache Hadoop [WWW Document] (2018), URL http://hadoop.apache.org/ (accessed 7.11.18).
Apache HBase [WWW Document] (2018), URL http://hbase.apache.org/ (accessed 7.11.18).
Apache Hive [WWW Document] (2018), URL https://hive.apache.org/ (accessed 7.11.18).
Apache Kylin [WWW Document] (2018), URL http://kylin.apache.org/ (accessed 7.11.18).
Apache Zeppelin [WWW Document] (2018), URL http://zeppelin.apache.org/ (accessed 7.11.18).
Chen, M., Mao, S. and Liu, Y. (2014), "Big data: A survey", Mob. Networks Appl., 19, 171-209. https://doi.org/10.1007/s11036-013-0489-0
DNV-GL (2018), AIS - Meant for navigational safety, used for business intelligence - DNV GL [WWW Document]. URL https://www.dnvgl.com/maritime/energy-efficiency/automatic-identification-system-data-insights.html (accessed 7.9.18).
Feblowitz, J. (2013), Analytics in Oil and Gas: The Big Deal About Big Data, in: SPE Digital Energy Conference, 5-7 March, The Woodlands, Texas, USA. p. 6. https://doi.org/http://dx.doi.org/10.2118/163717-MS
Gandomi, A. and Haider, M. (2015), "Beyond the hype: Big data concepts, methods, and analytics", Int. J. Inf. Manage., 35, 137-144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007
Google (2018), Google Cloud [WWW Document]. URL https://cloud.google.com/ (accessed 7.9.18).
Kelleher, J.D. and Tierney, B. (2018), Data Science, MIT Press.
Kim, K.S., Roh, M.I., Lee, S.M., Kim, H.S. and Ahn, H. (2018), "Weight-estimation method of FPSO topsides considering the work breakdown structure", J. Offshore Mech. Arct., 140, 1-10. https://doi.org/10.1115/1.4037828
Kim, S., Roh, M., Kim, K. and Oh, M. (2017), "Big data platform based on hadoop and application to weight estimation of FPSO topside", J. Adv. Res. Ocean Eng., 3, 32-40.
Lee, Y. (2017), A Reference Model for Big Data Analysis in Shipbuilding Industry, Ulsan National Institute of Science and Technology.
Lytra, I., Vidal, M.E., Orlandi, F. and Attard, J. (2017), "A big data architecture for managing oceans of data and maritime applications", Proceedings of the 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 1216-1226. https://doi.org/10.1109/ICE.2017.8280019
Mauro, A.D., Greco, M. and Grimaldi, M. (2015), "What is big data? A consensual definition and a review of key research topics", Proceedings of the AIP Conference, 97-104. https://doi.org/10.1063/1.4907823
Mourouzis, T. (2018), How Big Data Analytics Will Transform the Shipping Industry - Cyprus International Institute of Management [WWW Document]. URL https://www.ciim.ac.cy/how-big-data-analytics-will-transform-the-shipping-industry/ (accessed 7.8.18).
O'Neil, C. and Schutt, R. (2013), Doing Data Science: Straight Talk from the Frontline, O'Reilly Media.
Park, S.W., Roh, M.I., Oh, M.J. and Kim, S.H. (2018), "Association analysis of piping materials of an offshore structure using big data technology", J. Sh. Prod. Des., https://doi.org/10.5957/JSPD.170058
Perera, L.P. and Mo, B. (2017), "Machine intelligence based data handling framework for ship energy efficiency", IEEE T. Veh. Technol., 66, 1-8. https://doi.org/10.1109/TVT.2017.2701501
Pettey, C. and Goasduff, L. (2011), Gartner Says Solving "Big Data" Challenge Involves More Than Just Managing Volumes of Data [WWW Document]. Gartner. URL https://www.gartner.com/newsroom/id/1731916 (accessed 7.6.18).
Wang, H., Osen, O.L., Li, G., Li, W., Dai, H.N. and Zeng, W. (2015), "Big data and industrial Internet of Things for the maritime industry in Northwestern Norway", Proceedings of the 2015 IEEE Reg. 10 Conf., https://doi.org/10.1109/TENCON.2015.7372918
Yoo, S.L. (2018), "Near-miss density map for safe navigation of ships", Ocean Eng., 163, 15-21. https://doi.org/10.1016/j.oceaneng.2018.05.065
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